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281	A Low-cost Omni-directional Visual Bearing Only Localization System hart, charles 21 February 2014 (has links) No description available. Computer Science Robotics omnicam camera omnidirectional panoramic catadioptric spherical reflector triangulation power center localization particle filter computer vision raspberry pi zumo robot robotics low-cost inexpensive python matlab opencv
282	Development, Modelling and Control of a Multirotor Vehicle Mikkelsen, Markus January 2015 (has links) The interest of drones in all forms has exploded in the recent years. The development of multirotor vehicles such as quadcopters and octocopters, has reached a point where they are cheap and versatile enough to start becoming a part of everyday life. It is clear to say that the future applications seem limitless. This thesis goes through the steps of development, modelling and control design of an octocopter system. The developed octocopter builds on a concept of using the mini computer Raspberry Pi together with the code generation functionality of Matlab/Simulink. The mathematical modelling of the octocopter includes the thrust and torques generated by the propellers, added with gyroscopic torque. These are combined with the aerodynamic effects caused by incoming air. The importance of modelling the later mentioned effects has increased with the demand of precise controlled extreme manoeuvres. A full state feedback based hybrid controller scheme is designed against a linearized model, which makes use of the motor dynamics. The controllers show good performance in simulations and are approved for flight tests, which are conducted on two separate occasions. The octocopter makes two successful flights, proving that the concept can be applied on multirotor vehicles. However, there is a miss-match between the mathematical model and the physical octocopter, leaving questions for future work. Multirotor Octocopter Blade flapping Induced drag Gyroscopic torque Drone Modelling Control Code generation Raspberry Pi Matlab Simulink Simulations Flight tests Control Engineering Reglerteknik Embedded Systems Inbäddad systemteknik Robotics Robotteknik och automation Vehicle Engineering Farkostteknik Aerospace Engineering Rymd- och flygteknik
283	Design and Development of a Data Acquisition and Communication System for Point Absorber Tracking Kannan, Balakrishnan January 2021 (has links) The recent trend in generating energy from the waves has led to several advancements in the methods and the various research is conducted across the world, to study the behaviour of point absorbers on the waves. The point absorbers such as wave buoys are designed to move according to the waves and the generator that is mechanically coupled with the buoys, generate electricity. But these buoys can also be used for measuring important parameters like the force acting on it due to the incident waves and their movement can be tracked to study the effects on the buoy due to the incident waves. This project, as an extension of a previous work titled ‘Design and Development of a Measurement System to Track the Motion of a Point Absorber’ by Juliana Lüer, focuses on modifying and replacing the controller data acquisition and the communication system. The main aim is to increase the stability of the system and increasing the size of data storage and range of the data transmission. This is done in 3 steps that are as follows: - The Arduino based controller is replaced with an advanced Raspberry Pi based computer called RevPi Compact. - The Secure Digital (SD) card storage is replaced with a solid-state (Universal Serial Bus) USB memory stick with a large capacity. - The Radio Frequency (RF) based data transmission is replaced with a 4G (fourth generation) internet modem. The 60 W solar panels are retained from the previous project. But the Lead-Acid battery is replaced with two Lithium Polymer (Li-Po) batteries of 768 Wh capacity each. This increases the stability of the power source and enables the buoy to stay active for a longer time even when there is no useful solar irradiance for many days. There are two force transducers (strain gauge) to measure the line force and the angular force acting on the buoy. The Ellipse2-D Inertial Measurement Unit (IMU) from SBG systems is retained from the previous experiment. This sensor can track the Altitude and Heading Reference (AHRS) data along with the Global Positioning System (GPS) data with high levels of accuracy. All the data collected are can be tracked instantaneously due to the 4G internet communication protocol and this is enabled by TelenorTM connection and HuaweiTM 4G modem. A copy of these data is also stored in a SanDisk USB memory of 500 GB capacity. The tests are carried out under the laboratory conditions and the outputs are as expected. The whole setup is to be installed in a metallic buoy and to be tested in the Lysekil test site in the future. Data Acquisition System Raspberry Pi Controller Processor Wave buoy Lysekil wave energy measurements IMU GPS Strain gauge force Solar energy Battery communication 4G internet Remote tracking Shell Python Energy Engineering Energiteknik Marine Engineering Marin teknik Annan elektroteknik och elektronik Elektroteknik och elektronik
284	Měřicí zařízení pro sportovní analýzu využívající senzory inerciálních veličin / Measurement unit for sports analysis with inertial sensors Dugas, Martin January 2018 (has links) Master's thesis is dealing with desgin of a measuring unit incorporating inertial sensors, used for analysis in canoe sprint. Data from a three-axis accelerometer and a three-axis gyroscope were combined using an extended Kalman filter, yielding speed, roll, pitch and yaw of the boat and stroke rate. Calculated values were verified by a GPS. Furthermore, parameters describing dynamic behaviour of the system were identified, allowing an inclusion of dynamic quantities like force and power into the analysis.
285	System for People Detection and Localization Using Thermal Imaging Cameras / System for People Detection and Localization Using Thermal Imaging Cameras Charvát, Michal January 2020 (has links) V dnešním světě je neustále se zvyšující poptávka po spolehlivých automatizovaných mechanismech pro detekci a lokalizaci osob pro různé účely -- od analýzy pohybu návštěvníků v muzeích přes ovládání chytrých domovů až po hlídání nebezpečných oblastí, jimiž jsou například nástupiště vlakových stanic. Představujeme metodu detekce a lokalizace osob s pomocí nízkonákladových termálních kamer FLIR Lepton 3.5 a malých počítačů Raspberry Pi 3B+. Tento projekt, navazující na předchozí bakalářský projekt "Detekce lidí v místnosti za použití nízkonákladové termální kamery", nově podporuje modelování komplexních scén s polygonálními okraji a více termálními kamerami. V této práci představujeme vylepšenou knihovnu řízení a snímání pro kameru Lepton 3.5, novou techniku detekce lidí používající nejmodernější YOLO (You Only Look Once) detektor objektů v reálném čase, založený na hlubokých neuronových sítích, dále novou automaticky konfigurovatelnou termální jednotku, chráněnou schránkou z 3D tiskárny pro bezpečnou manipulaci, a v neposlední řadě také podrobný návod instalace detekčního systému do nového prostředí a další podpůrné nástroje a vylepšení. Výsledky nového systému demonstrujeme příkladem analýzy pohybu osob v Národním muzeu v Praze.
286	An Intelligent UAV Platform For Multi-Agent Systems Taashi Kapoor (12437445) 21 April 2022 (has links) <p> This thesis presents work and simulations containing the use of Artificial Intelligence for real-time perception and real-time anomaly detection using the computer and sensors onboard an Unmanned Aerial Vehicle. One goal of this research is to develop a highly accurate, high-performance computer vision system that can then be used as a framework for object detection, obstacle avoidance, motion estimation, 3D reconstruction, and vision-based GPS denied path planning. The method developed and presented in this paper integrates software and hardware techniques to reach optimal performance for real-time operations. </p> <p>This thesis also presents a solution to real-time anomaly detection using neural networks to further the safety and reliability of operations for the UAV. Real-time telemetry data from different sensors are used to predict failures before they occur. Both these systems together form the framework behind the Intelligent UAV platform, which can be rapidly adopted for different varieties of use cases because of its modular nature and on-board suite of sensors. </p> Aerospace Engineering Autonomous Vehicles Computer Vision Intelligent UAV Computer Vision Object Detection Anomaly Detection Pixhawk Raspberry Pi Neural Networks Machine Learning Intel RealSense Edge AI UAV AI YOLOv5 MobileNetSSD-v2 LSTM Autoencoder
287	Reconnaissance Radar Robot Holm, Kasper, Henrysson, Erik January 2023 (has links) During the last century, various countries' armed forces have used unmanned aerial vehicles, commonly known as drones. In recent years, strives have been made to develop small commercial drones that have allowed the general public to afford and use them for recreational purposes. The availability of drones has led to immoral applications of the technology. Such applications need to be faced with anti-measures and effective detection methods. Therefore, this thesis aims to develop a mobile reconnaissance robot that can detect commercial drones with radar. It describes integrating radar sensors with single-board computers to detect and localise air-bound objects. The finished product aims to be used for educational and exhibition purposes at the Swedish Armed Forces technical school to increase awareness of the technology. / <p>Försvarsmaktens tekniska skola i Halmstad var intressenter för uppsatsen.</p> radar signal processing signal processing state machine state machine test testing radar testing radar technology frequency modulated continuous wave fmcw pulse radar raspberry pi single board computer sbc poe power over ethernet mqtt mqtt package python drones uav unmanned aerial vehicle drone detection radar robot swedish armed forces swedish armed forces technical school fmts beamforming fast fourier transform fft point cloud point clustering software design Computer and Information Sciences Data- och informationsvetenskap Computer Sciences Datavetenskap (datalogi) Software Engineering Programvaruteknik Signal Processing Signalbehandling Computer Systems Datorsystem
288	Řízení dodávky vody v rodinném domě / Control of water supply for a house Chvátal, Michal January 2021 (has links) The diploma thesis deals with the design and implementation of the system that will control the water supply for the family house and its garden. The system aslo allows you to store a history that can be viewed via the web interface. The web interface also allows you to set system parameters and monitor the current status.

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